{"uid":"cap_CRZsYJUxbaxjylxwE256a","slug":"signalharness-model-output-cost-comparator-caller-supplied-usage-97231bf8","name":"SignalHarness Model Output Cost Comparator (Caller-Supplied Usage)","description":"Explore 330 pay-per-call x402 API services and 27 agent-native digital products, with Base USDC pricing, secure Polar checkout, and free discovery.","url":"https://signalharness.ai/api/agent/services/model_output_cost_compare_from_supplied_usage/invoke","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"request_json":{"type":"string","maxLength":65536,"minLength":2}}},"responseSchema":{"type":"json","example":{"replay":false,"result":{"warnings":["Verify the caller-supplied data before relying on this result."],"service_id":"model_output_cost_compare_from_supplied_usage","analysis_json":"{\"example\":\"schema-valid caller-supplied data\"}","evidence_scope":"caller_supplied_data"},"status":"succeeded","receipt":{"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","usage":[],"status":"succeeded","network":"eip155:8453","artifacts":[],"endedAtMs":0,"latencyMs":0,"paymentId":"example-payment","receiptId":"example-receipt","requestId":"example-request","serviceId":"model_output_cost_compare_from_supplied_usage","executionId":"example-execution","startedAtMs":0,"amountAtomic":"15000","resultSha256":"6919303e542fe79c8f493a960e0ee11db4c49a6932d026aa74e6b109bb2d6a32","serviceVersion":"1.0.0","settlementReference":"0x0000000000000000000000000000000000000000000000000000000000000000"},"artifacts":[],"requestId":"example-request","executionId":"example-execution"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.015","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.015/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.015","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.015","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_IQmQAFrjloP3tooHyirLG","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.015","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Compares LLM model output costs based on caller-supplied usage data, returning a structured cost analysis across models.","exampleAgentPrompt":"Compare the output costs across major LLM models using this usage data I have — input tokens: 12000, output tokens: 4500, for GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro — and tell me which is cheapest for my workload.","exampleUseCases":[{"title":"Cheapest model for production chatbot","prompt":"I'm running a customer support chatbot that processes about 50,000 input tokens and 15,000 output tokens per day. Can you compare the costs across GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Flash using those numbers and tell me which model would save me the most money?"},{"title":"Budget audit for AI pipeline","prompt":"I need to audit our AI spending — here's our monthly usage: 2 million prompt tokens and 800,000 completion tokens spread across GPT-4 Turbo and Mistral Large. Can you run a cost comparison on that usage and show me if we'd save money switching providers?"},{"title":"Model selection for new agent build","prompt":"I'm planning a new agent that will use roughly 3,000 input tokens and 1,200 output tokens per call, running about 500 times a day. Can you compare the total daily costs across the top LLMs so I can decide which model to build on?"}],"resultDescription":"Returns a JSON analysis object containing a cost comparison derived from the caller-supplied usage data, along with warnings noting that results depend on the accuracy of the submitted data. Includes service metadata, a receipt with payment details, and an analysis_json field containing the structured comparison results.","failureModes":["Invalid or malformed request_json input results in validation error","Missing or empty request_json field returns schema error","Caller-supplied usage data is inaccurate leading to misleading cost comparison (warned in response)","Payment failure via x402 protocol prevents execution","Model identifiers not recognized may result in incomplete comparison"],"whenToPreferThis":"Choose this endpoint when you have your own token usage data and want a structured, automated cost comparison across LLM providers without manually consulting each provider's pricing page. Ideal for agents optimizing model selection, auditing AI spend, or making build-vs-buy decisions based on real usage patterns. Prefer over manual lookups when you need machine-readable output with receipt provenance.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T18:53:40.916Z","isFirstParty":false}